AI Rookies building better the world with AI • ML backend infra

AI Rookies building better the world with AI • Computer Vision • LLM

Focus will be on building ☸ ⚛ using the following technologies.• Kubernetes • Terraform • Ansible • Airflow • MLflow • Kubeflow • DVC• Apache Iceberg • Delta Lake • MinIO• Prometheus • Grafana• Flux • Argo • Isto • Helm • Kustomize • Tekton

Activities: Kaggle data competitions, AI Wix, MLUB Night, Kaggle Days Meetup-Ulaanbaatar, Women in Data Science and Pie & AI-Ulaanbaatar...

Contributing organized MEETUPS & CONFERENCES such as Pie & AI-Ulaanbaatar, MLUB Night, Kaggle Days Meetups. Participated in Kaggle Data Competitions.

Shifting a position in Mogul Group, I worked on several mission critical projects.⦿ Bigdata Implementations: Managed Service• Contributed to set up Cloudera Private Cloud on Bare Metal and VM's for several enterprise customers. Configured Kerberos and TLS/SSL Secured Hadoop Cluster, Integrated and maintained 15+ managed services such as Spark, Kafka, Kudu, Hive, Atlas etc using Cloudera Manager. • Designed Data Warehouses and Data Marts on Cloudera Data Lake Ecosystem. Migrated several core RDBMS's of databases with 1000+ tables such as Oracle and PostgreSQL for the customers to Cloudera Columnar Storage - Kudu, and Fault-Tolerant data formats (Parquet, TextFile etc) of Hive using Talend Big Data Integration Tool and Cloudera Sqoop.• Implemented and automated fast analytics and machine learning algorithms such as Risk Scoring Algorithms, Customer Segmentation and Graph relations using self service techs.• Contributed to each of the professionals in Distributed Systems Configs, Data Engineering Pipeline, and Machine Learning Development.• During the projects I gained a lot of experience that about distributed systems. ⦿ Big Data Implementation: Customized Delivery • Developed Labor Market Platform for create the easiest way to find a new jobs in Mongolia. Help and recommend to Mongolian employee find jobs, employment and career opportunities in real time. • Installed Containerized Spark cluster with Docker Swarm, configured the default configs for the cluster performance. Worked on Confluent Kafka Consumer and Producer API's with PySpark Streaming API integration.• Research about recommendation algorithms, Implemented it on containerized spark applications and deploy to Spark cluster using Bitbucket CICD pipeline. The recommender system works as real time backend service.

⦿ Research Research about features and capabilities of self service technologies such as Knime, H2O, Alteryx, Talend, Tableau Prep etc that meets customer's cost-effective, integrates more seamlessly with the customer's existing software systems and data sources requirements.• Focused on Functionality, Ease of use, Cost, Integration and Scalability. ⦿ ImplementationDefined the customer's business requirements, goals, and data-related challenges. Tested in a controlled environment to make sure it meets customer's needs and works as expected. Worked on PoC data analyses and machine learning algorithms to evaluate the platform's performance and capabilities. Customized it to meet the customer's specific needs such as configuring server side settings and workflows, setting up connectors to various data sources.⦿ In January 2021, Novelsoft LLC became a subsidiary of Mogul Group ( ITZone LLC ), which is responsible for Data and Software Development. After the Mogul Group restructuring, I worked at Novelsoft LLC on Data Scientist position.